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Air quality now: Jambi City

Indonesia · Jambi · 2 cities

Air quality in Jambi today The AQI right now, city by city

Right now, Sungai Penuh has the cleanest air of the 2 cities we track in Jambi (AQI 37, Good), and Jambi City the worst (AQI 106, Unhealthy for sensitive groups). Sungai Penuh has the most tree cover, at 20.6% — #103 of 155 cities measured in Indonesia.

Every city is measured the same way, over the same 2 km around its center: the air quality right now, from ground stations where there are any, and its tree cover.

cities tracked
2
average tree cover
20.3%
Indonesia: 28.0%
worst air now: Jambi City
106
cleanest air now: Sungai Penuh
37

Lower is better on the US EPA index: 0–50 is Good, above 300 is Hazardous, and it reads differently from Indonesia's ISPU. Measured by Airleaf, refreshed hourly.

Air quality today across Jambi, city by city

Current air quality and tree cover for cities in Jambi, Indonesia
Jambi City106Unhealthy for sensitive groups19.9%46.6K#105 of 155
Sungai Penuh37Good20.6%29.5K#103 of 155

Air quality is the US AQI from ground monitoring stations via OpenAQ where available, otherwise the Open-Meteo / CAMS model, refreshed hourly. Tree cover is measured within 2 km of each city center from Sentinel-2 imagery; the rank compares every city measured in Indonesia.

Is this the same as Indonesia's ISPU?

No. Airleaf shows the US EPA Air Quality Index (AQI), the scale used by IQAir and most air-quality apps. Indonesia's official index is the ISPU (Indeks Standar Pencemar Udara), published by the environment ministry from its own monitoring stations. Its bands are 0–50 Baik (good), 51–100 Sedang (moderate), 101–200 Tidak Sehat (unhealthy), 201–300 Sangat Tidak Sehat (very unhealthy) and over 300 Berbahaya (hazardous). The two indexes use different breakpoints and averaging times, so the same air can score differently on each.

Deforestation · 2001–2025

How much forest has Jambi lost?

Since 2001, Jambi has lost about 2.2 million hectares of forest (about 22,000 km²): 47% of the forest it had in 2000. Most of it (82%) was deforestation, forest cleared for good, mainly for farms, pasture and plantations.

Forest lost since 2001
2.2 million haabout 22,000 km²
Share of its forest
47%of what there was in 2000
Cleared for good
1.8 million hadeforestation: turned into farms, mines or towns
Forest lost each year in Jambi, 2001–2025

Hectares of forest lost each year

Forest lost each year in Jambi, 2001–2025. Use the left and right arrow keys to read each year.171K

Show the figures as a table
Forest lost each year in Jambi, 2001–2025
YearCleared for goodCan grow backTotal
200141,300 ha8,450 ha49,700 ha
200237,300 ha10,300 ha47,500 ha
200317,300 ha5,800 ha23,200 ha
200481,400 ha20,200 ha102,000 ha
200557,000 ha17,600 ha74,600 ha
2006101,000 ha23,200 ha125,000 ha
200799,600 ha24,100 ha124,000 ha
200898,900 ha34,700 ha134,000 ha
2009108,000 ha25,100 ha133,000 ha
201032,600 ha6,830 ha39,500 ha
201145,800 ha7,150 ha53,000 ha
2012144,000 ha18,300 ha162,000 ha
201362,200 ha10,100 ha72,300 ha
201471,600 ha12,100 ha83,700 ha
201555,800 ha10,600 ha66,500 ha
2016102,000 ha69,000 ha171,000 ha
201777,000 ha13,100 ha90,100 ha
201863,000 ha9,260 ha72,200 ha
201960,300 ha11,900 ha72,300 ha
202056,900 ha24,900 ha81,800 ha
202166,600 ha8,730 ha75,300 ha
202270,500 ha7,460 ha78,000 ha
202391,200 ha7,190 ha98,400 ha
202485,900 ha9,360 ha95,300 ha
202570,300 ha10,100 ha80,400 ha

Forest loss has stayed about the same: about 85,500 hectares a year in 2021–2025, against 97,600 hectares a year in 2016–2020. The worst year was 2016, when about 171,000 hectares of forest were lost.

What is causing deforestation in Jambi?

  • Farms, pasture and plantationscleared for good81% · 1.78 million ha
  • Loggingcan grow back9.5% · 209,000 ha
  • Wildfirescan grow back4.8% · 106,000 ha

Also: shifting farming, mining and energy, towns and roads, storms, floods and other natural causes, unknown causes.

Causes for 2025 are estimates, based on what caused forest loss in the same places up to 2024.

Source: Hansen/UMD/Google/USGS/NASA, Global Forest Change (GFC-2025-v1.13); causes: WRI/Google DeepMind drivers of forest loss; both CC BY 4.0, summed by Airleaf for each area. How it's measured

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